Developing a successful data governance strategy by Federico Castanedo via @OReillyMedia

Multi-model database architectures provide a flexible data governance platform.

Great article by Federico that is worth reading. There is a free e-book you can download too.

Big Data Is All Relative—or Relational by Mike Azevedo via @infomgmt

But as we foam at the mouth over the next great revelation that will emerge from the Hadoop cluster, a new wave of cloud-enabled applications are testing the limits of our traditional relational database systems.

RDBMS are so ensconced into our systems that it has to be better to have new innovations able to use them rather than the expense of redeveloping every thing . Yes I admit things would work better and faster with the new databases, but sometimes there is not the time nor the resources to move the data.

How to Perform RDBMS CRUD Operations with Hadoop MapReduce Integration via @Datafloq

How to Perform RDBMS CRUD Operations with Hadoop MapReduce Integration by Ethan Millar via +Datafloq - This article introduces the way to perform RDBMS operations with Hadoop integration. Hadoop is a trending technology these days and to understand the subject, you need to clear some basic facts about this technology. In this post, experts will explain how to read the RDBMS data and manipulate it with Hadoop MapReduce and write it back to RDBMS.​ They are introducing a way to perform simple RDBMS read and write operations using Hadoop.

Great article and highly recommended.

How does a relational database work via Christophe Kalenzaga

An in-depth article that explains how a relational database handles an SQL query and the basic components inside a database.

Well worth a read and a bookmark even if you think you know everything there is to know about them.

Basics of SQL and RDBMS – must have skills for data science professionals via @AnalyticsVidhya

SQL - One of the most sought and must known skills for Data Science Professionals, here's a simplified guide explaining basics of SQL, focusing for RDBMS.

Interesting high level guide for SQL from AnalyticsVidhya.